Overview

Dataset statistics

Number of variables5
Number of observations67
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory43.0 B

Variable types

Numeric1
Text1
Categorical3

Dataset

Description의령군 관내 의류수거함설치 현황입니다. 의료수거함 총 개수 및 설치 위치, 의료수거함 재료, 관리주체 정보, 데이터기준일을 포함한 정보입니다.
Author경상남도 의령군
URLhttps://www.data.go.kr/data/15127244/fileData.do

Alerts

재질 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 관리상태High correlation
관리상태 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-23 06:43:44.618131
Analysis finished2024-03-23 06:43:49.482967
Duration4.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-03-23T06:43:49.701511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.3
Q117.5
median34
Q350.5
95-th percentile63.7
Maximum67
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation19.485037
Coefficient of variation (CV)0.57308932
Kurtosis-1.2
Mean34
Median Absolute Deviation (MAD)17
Skewness0
Sum2278
Variance379.66667
MonotonicityStrictly increasing
2024-03-23T06:43:50.209878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
44 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
45 1
 
1.5%
43 1
 
1.5%
2 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%
58 1
1.5%

설치위치
Text

Distinct60
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-03-23T06:43:51.026169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length12.626866
Min length9

Characters and Unicode

Total characters846
Distinct characters58
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)83.6%

Sample

1st row의령읍 서동리 1052
2nd row의령읍 서동리 792
3rd row의령읍 서동리 994
4th row의령읍 서동리 994-14
5th row의령읍 서동리 246
ValueCountFrequency (%)
의령읍 37
18.5%
부림면 22
 
11.0%
동동리 20
 
10.0%
서동리 14
 
7.0%
신반리 10
 
5.0%
994 3
 
1.5%
864 3
 
1.5%
감암리 3
 
1.5%
977-8 3
 
1.5%
단원리 3
 
1.5%
Other values (77) 82
41.0%
2024-03-23T06:43:52.192387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
15.8%
리 65
 
7.7%
동 55
 
6.5%
1 48
 
5.7%
- 45
 
5.3%
의 39
 
4.6%
읍 37
 
4.4%
령 37
 
4.4%
9 36
 
4.3%
4 31
 
3.7%
Other values (48) 319
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
47.3%
Decimal Number 267
31.6%
Space Separator 134
 
15.8%
Dash Punctuation 45
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 65
16.2%
동 55
13.8%
의 39
9.8%
읍 37
9.2%
령 37
9.2%
면 29
7.2%
부 23
 
5.8%
림 22
 
5.5%
서 14
 
3.5%
신 11
 
2.8%
Other values (36) 68
17.0%
Decimal Number
ValueCountFrequency (%)
1 48
18.0%
9 36
13.5%
4 31
11.6%
8 28
10.5%
2 28
10.5%
3 23
8.6%
7 19
 
7.1%
6 19
 
7.1%
0 18
 
6.7%
5 17
 
6.4%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 446
52.7%
Hangul 400
47.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 65
16.2%
동 55
13.8%
의 39
9.8%
읍 37
9.2%
령 37
9.2%
면 29
7.2%
부 23
 
5.8%
림 22
 
5.5%
서 14
 
3.5%
신 11
 
2.8%
Other values (36) 68
17.0%
Common
ValueCountFrequency (%)
134
30.0%
1 48
 
10.8%
- 45
 
10.1%
9 36
 
8.1%
4 31
 
7.0%
8 28
 
6.3%
2 28
 
6.3%
3 23
 
5.2%
7 19
 
4.3%
6 19
 
4.3%
Other values (2) 35
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 446
52.7%
Hangul 400
47.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
30.0%
1 48
 
10.8%
- 45
 
10.1%
9 36
 
8.1%
4 31
 
7.0%
8 28
 
6.3%
2 28
 
6.3%
3 23
 
5.2%
7 19
 
4.3%
6 19
 
4.3%
Other values (2) 35
 
7.8%
Hangul
ValueCountFrequency (%)
리 65
16.2%
동 55
13.8%
의 39
9.8%
읍 37
9.2%
령 37
9.2%
면 29
7.2%
부 23
 
5.8%
림 22
 
5.5%
서 14
 
3.5%
신 11
 
2.8%
Other values (36) 68
17.0%

관리상태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
민간 수거
56 
환경과 수거
11 

Length

Max length7
Median length6
Mean length6.1641791
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 민간 수거
2nd row 민간 수거
3rd row 민간 수거
4th row 민간 수거
5th row 민간 수거

Common Values

ValueCountFrequency (%)
민간 수거 56
83.6%
환경과 수거 11
 
16.4%

Length

2024-03-23T06:43:52.725594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:43:53.115000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수거 67
50.0%
민간 56
41.8%
환경과 11
 
8.2%

재질
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
철재
67 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row철재
2nd row철재
3rd row철재
4th row철재
5th row철재

Common Values

ValueCountFrequency (%)
철재 67
100.0%

Length

2024-03-23T06:43:53.524550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:43:53.874242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
철재 67
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-03-18
67 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-18
2nd row2024-03-18
3rd row2024-03-18
4th row2024-03-18
5th row2024-03-18

Common Values

ValueCountFrequency (%)
2024-03-18 67
100.0%

Length

2024-03-23T06:43:54.155626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:43:54.618113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-18 67
100.0%

Interactions

2024-03-23T06:43:48.633285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:43:54.906583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치위치관리상태
연번1.0000.9960.983
설치위치0.9961.0001.000
관리상태0.9831.0001.000
2024-03-23T06:43:55.185137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리상태
연번1.0000.831
관리상태0.8311.000

Missing values

2024-03-23T06:43:49.032526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:43:49.319510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번설치위치관리상태재질데이터기준일
01의령읍 서동리 1052민간 수거철재2024-03-18
12의령읍 서동리 792민간 수거철재2024-03-18
23의령읍 서동리 994민간 수거철재2024-03-18
34의령읍 서동리 994-14민간 수거철재2024-03-18
45의령읍 서동리 246민간 수거철재2024-03-18
56의령읍 서동리 1037민간 수거철재2024-03-18
67의령읍 서동리 998-3민간 수거철재2024-03-18
78의령읍 서동리 994민간 수거철재2024-03-18
89의령읍 서동리 994민간 수거철재2024-03-18
910의령읍 서동리 594-1민간 수거철재2024-03-18
연번설치위치관리상태재질데이터기준일
5758부림면 손오리 564-5민간 수거철재2024-03-18
5859부림면 단원리 650-4민간 수거철재2024-03-18
5960부림면 단원리 913-7민간 수거철재2024-03-18
6061부림면 단원리 22-4민간 수거철재2024-03-18
6162부림면 여배리 392-1민간 수거철재2024-03-18
6263부림면 여배리 694-8민간 수거철재2024-03-18
6364부림면 익구리 186-8민간 수거철재2024-03-18
6465부림면 감암리 651-1민간 수거철재2024-03-18
6566부림면 감암리 941-2민간 수거철재2024-03-18
6667부림면 감암리 1052민간 수거철재2024-03-18